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Communications Medicine, 2022 Wells et al. use mathematical modeling to compare quarantine duration, testing frequency, and false-positive rate for 18 rapid antigen (RA) and RT-PCR tests.
Chad R. Wells +11 more
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Agent-based model of the impact of higher influenza vaccine efficacy on seasonal influenza burden
Vaccine: X, 2023 Introduction: Current influenza vaccines have limited effectiveness. COVID-19 vaccines using mRNA technology have demonstrated very high efficacy, suggesting that mRNA vaccines could be more effective for influenza. Several such influenza vaccines are in
Mary G. Krauland +6 more
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Learning Computational Thinking Practices Through Agent-Based Modeling in an Informal Setting [PDF]
Journal of Research in Science, Mathematics and Technology Education, 2022 In this qualitative study, I investigated the form of interaction when learners co-constructed computational thinking practices in an informal setting. This study focuses on the roles of five youth, three adult mentors, and a facilitator during a summer ...
Adewale Adeolu
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Agent-Based Model Exploration [PDF]
, 2015 The previous chapters have allowed us to introduce the basics of agent-based model creation with NetLogo. This has resulted in a model such as the one used in our running example. Once the model has been built, the aim is to manipulate it in such a way that new knowledge about the modeled phenomenon can be created.
Banos, Arnaud +3 more
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Agent-based computational models [PDF]
, 2021 Published
Flache, Andreas +1 more
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Agent-Based Modeling of COVID-19 Transmission in Philippine Classrooms
Frontiers in Applied Mathematics and Statistics, 2022 Onsite classes in the Philippines have been prohibited since March 2020 due to the SARS-CoV-2 which causes the COVID-19. This forced millions of learners to adapt with new modes of instruction that may not be optimal for their learning. In this study, we
Rojhun O. Macalinao +2 more
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Agent‐Based Modeling and Simulation
AI Magazine, 2012 This article gives an introduction to agent‐based modeling and simulation (ABMS). After a general discussion about modeling and simulation, we address the basic concept of ABMS, focusing on its generative and bottom‐up nature, its advantages as well as its pitfalls.
Franziska Klügl, Ana L. C. Bazzan
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An Agent-Based Classification Model [PDF]
SSRN Electronic Journal, 2007 The major function of this model is to access the UCI Wisconsin Breast Can- cer data-set[1] and classify the data items into two categories, which are normal and anomalous. This kind of classifi cation can be referred as anomaly detection, which discriminates anomalous behaviour from normal behaviour in computer systems.
Feng Gu 0006 +2 more
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Special Issue “Multi-Agent Systems”: Editorial
Applied Sciences, 2020 Multi-agent systems (MAS) are built around the central notions of agents, interaction, and environment. Agents are autonomous computational entities able to pro-actively pursue goals, and re-actively adapt to environment change.
Stefano Mariani, Andrea Omicini
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Agent-Based Modeling of Malaria Transmission
IEEE Access, 2023 Despite global efforts to eradicate malaria, it remains a major health threat to nearly half of the world’s population. Recent statistics show that globally, there are over 200 million malaria cases, and estimated deaths are close to half a ...
Babagana Modu +2 more
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